Question 1

What is the AI Evidence Chain&trade;?

Accepted Answer

The AI Evidence Chain™ is RaaSify.AI's proprietary 7-step governance framework — a registered trademark (BOIP Reg. No. 1551399, registered August 25, 2026, held by Ma Cherie Cortez, PhD) — that creates a traceable record from business intent through data, build, validation, deployment, monitoring, and incident response. It ensures every AI decision can be defended to regulators, auditors, and boards — replacing policy theatre with operational evidence that lives in delivery workflows, not binders.

Most organizations can name the 7 steps after reading this. Very few can produce audit-ready evidence for even one of them without a structured build — that's exactly what the AI Evidence Chain™ Audit assesses.

Question 2

What does ISO/IEC 42001 readiness actually require &mdash; beyond policies?

Accepted Answer

ISO/IEC 42001 readiness requires three things beyond documentation: a defined scope with a complete AI system inventory (including shadow AI), a minimum viable AI Management System with lifecycle controls and evidence trails, and closed gaps across six common failure areas — unclear risk acceptance, weak vendor controls, missing change management, and untested incident playbooks. Auditors test how you run AI, not how you talk about it.

The first 30 days of RaaSify.AI's 90-Day Governance Sprint close the two most common gaps we see: shadow AI visibility and unclear risk acceptance.

Question 3

How do I prepare for the EU AI Act in 90 days?

Accepted Answer

EU AI Act readiness follows three phases:

Days 0–30 establish exactly what AI you're actually running — most organizations discover 30–40% more AI systems than expected once shadow AI and vendor features are included.
Days 31–60 build the governance basics: policy, approval gates, and risk workflow.
Days 61–90 operationalize controls — model documentation, human oversight, vendor due diligence, and a full audit trail.
This is the exact structure of RaaSify.AI's 90-Day Governance Sprint — built to take you from "we're not sure what we're running" to audit-ready in one quarter.

Question 4

What are the 5 audit-ready AI governance artifacts boards actually ask for?

Accepted Answer

The five artifacts that do 80% of the audit work are:

AI System Inventory
Risk Assessment Template mapped to ISO/IEC 42001 and EU AI Act tiers
Model Change Log linked to approvals and rollback plans
Human Oversight Playbook defining escalation paths, and
KPI Dashboard covering performance, safety, and compliance.
Each needs a named owner and a review cadence — monthly or quarterly.

Knowing these 5 artifacts takes 5 minutes. Building them so they hold up to an actual audit — with the right ownership, evidence trail, and review cadence — is what most 90-Day Governance Sprint engagements are built around.

Question 5

Do I need a formal AI governance structure if I'm a small business?

Accepted Answer

Not the version enterprises use. Large companies debate centralized councils, federated hub-and-spoke models, or product-line ownership — real questions, but sized for organizations with dozens of AI systems and multiple business units. Most small and mid-sized businesses need something far simpler: one clearly accountable owner, a lightweight approval step before new AI tools go live, and a regular review cadence.

The mistake isn't picking the 'wrong' enterprise model — it's assuming you need enterprise complexity at all. RaaSify.AI's free Assessment Call helps you find the right-sized structure for your actual team, not a framework built for a company ten times your size.

Question 6

What are the 3 executive decisions that determine whether AI governance actually works?

Accepted Answer

Executives must own three non-delegable decisions:

Risk appetite — written as thresholds, not slogans, covering safety, discrimination, and regulatory exposure;
Operating model — choosing a central council or federated guardrails as the primary structure;
Controls investment — explicitly funding monitoring, red teaming, and vendor assurance.
Skip these, and vendors, regulators, and incident reports will make the decisions for you.

If you're not the final decision-maker on these three calls, this is worth forwarding to whoever is. RaaSify.AI's free Assessment Call is often the fastest way to get executive alignment on all three in a single conversation.

Question 7

What AI governance KPIs actually change behavior &mdash; versus vanity metrics?

Accepted Answer

"Number of AI models in production" is a vanity metric — it shows nothing about risk reduction. Behavior-changing KPIs include: % of AI systems inventoried, % risk-assessed pre-release, median time-to-approve high-risk use cases, AI incident rate, % of models under active monitoring, and policy exception trends. Track 6–8 metrics with owners and thresholds, reviewed monthly — not 40 metrics no one acts on.

Tracking these 6 KPIs is a spreadsheet exercise. Reviewing them monthly with real accountability — deciding what to stop, pause, or escalate — is where most internal programs quietly stop showing up. That ongoing management rhythm is what AI GaaS provides.

Question 8

Which RaaSify.AI service is right for me &mdash; the Audit, the 90-Day Governance Sprint, or AI GaaS?

Accepted Answer

Start with the AI Evidence Chain™ Audit if you don't yet know where your gaps are — it's a fast, focused assessment. Choose the 90-Day Governance Sprint if you already know you need to build governance from scratch and have a deadline (audit, certification, or board mandate) driving urgency. Choose AI GaaS if you've already built a baseline and need continuous monitoring, policy updates, and accountability without hiring a full internal team.

Not sure which applies to you? That's exactly what the free 30-minute Assessment Call is for — we'll tell you honestly which one fits, even if the answer is "none yet."

Question 9

How much does AI governance consulting or ISO/IEC 42001 readiness cost?

Accepted Answer

Cost depends on your AI system inventory size, current governance maturity, and how many business units are in scope — a single-product startup and a multi-region financial institution have very different scopes. Most engagements fall into one of three tiers: a focused Audit (lowest investment, fastest turnaround), a structured 90-Day Governance Sprint (mid-range, fixed scope), or AI GaaS (retainer-based, scales with your AI footprint).

Rather than guessing at your scope from a generic price list, the free Assessment Call gives you an accurate estimate in 30 minutes based on your actual systems — not a one-size-fits-all number.

Question 10

Do you offer AI governance training for internal teams, or only consulting?

Accepted Answer

Yes — RaaSify.AI offers structured AI governance training alongside consulting, because a framework only works if the people using it understand why it exists, not just what to fill in. Training covers the AI Evidence Chain™ methodology, ISO/IEC 42001 fundamentals, EU AI Act risk classification, and how to run the evidence artifacts (inventory, risk assessments, oversight playbooks) day-to-day — tailored to compliance, product, and engineering audiences separately.

If your team needs to operate the governance program after it's built — not just have it handed to you as a binder — training is often paired with the 90-Day Governance Sprint so the knowledge transfers as the artifacts are built, not after.

Question 11

Who should attend AI governance training &mdash; compliance only, or product and engineering teams too?

Accepted Answer

All three, but not in the same session. Compliance and risk teams need depth on risk classification, evidence requirements, and audit expectations. Product and business owners need to understand approval gates and when their use case triggers review. Engineering and data teams need the practical mechanics of model documentation, change logs, and monitoring — the parts they'll actually be filling in.

RaaSify.AI structures training by audience for exactly this reason. If you're not sure who from your organization should be in the room, that's a quick conversation to have on the free Assessment Call before you commit budget to the wrong group.

Question 12

Can't we just build AI governance internally instead of hiring a consultant?

Accepted Answer

You can — and some organizations should, especially if they have in-house risk and compliance depth and time to spare. Where internal builds usually stall: no one has done this specifically for AI before, so risk tiers get misclassified, vendor AI gets missed entirely, and the "policy" gets written without the evidence infrastructure to back it up in a real audit. The framework is publishable; the judgment calls in applying it correctly are not.

If you want to try building it yourselves first, start with the AI System Inventory — it's the one artifact almost every internal team gets wrong on the first pass. The AI Evidence Chain™ Audit exists specifically to catch those gaps before an external auditor does.

Question 13

We already have some AI governance in place &mdash; can you build on what we have, or do we start over?

Accepted Answer

Almost never start over. Most organizations we work with already have something — a policy document, a partial inventory, an informal review process. The AI Evidence Chain™ Audit is designed to assess what you have against all 7 stages, keep what's working, and identify exactly where the gaps are — rather than replacing existing work with a generic template.

If you're mid-maturity, the Audit is almost always the right starting point — it tells us (and you) precisely how much of the 90-Day Governance Sprint you actually need, so you're not paying to rebuild what's already solid.

Question 14

Is RaaSify.AI's methodology recognized by auditors, or aligned with official ISO/IEC 42001 certification requirements?

Accepted Answer

The AI Evidence Chain™ is built to map directly to ISO/IEC 42001 clauses, EU AI Act risk-tier obligations, and NIST AI RMF functions — it's not a standalone framework invented in isolation. It operationalizes what certification bodies and auditors actually test: documented lifecycle controls, evidence trails, named accountability, and continuous improvement — the same substance auditors look for, structured so it's easy to produce on demand.

The framework gets you audit-ready; a certification decision is always made by an accredited certification body, not by RaaSify.AI. The 90-Day Governance Sprint is scoped specifically to prepare you for that external audit with evidence in hand, not just a policy binder.

Question 15

What happens on the free 30-minute Assessment Call &mdash; is there a sales pitch?

Accepted Answer

No pitch, no deck. We review your current AI landscape together, identify your top 3 compliance gaps in real time, and tell you honestly which service (or none) makes sense — including if the answer is "you're further along than you think and don't need us yet." Most calls end with a clear next step, whether that's booking an engagement or a specific action you can take internally first.

If that sounds useful, the Book a Call section on this page takes 60 seconds to schedule — no obligation attached to filling it out.

Question 16

How do you handle confidentiality around our AI systems, vendor contracts, and risk posture during an engagement?

Accepted Answer

Every engagement — starting with the Assessment Call — is treated as confidential by default. Discussing your AI inventory, vendor relationships, or risk exposure with an outside advisor requires trust, and RaaSify.AI does not reference client-specific details, systems, or findings publicly or with other clients under any circumstance. Formal NDAs are standard practice before any deeper engagement (Audit, Sprint, or AI GaaS) begins.

If confidentiality terms are a condition of even having the initial conversation, raise it at the start of the Assessment Call — it's a normal request, not an unusual one.

Question 17

What's the risk of waiting until the EU AI Act enforcement deadline instead of acting now?

Accepted Answer

By the time enforcement deadlines arrive, the AI systems already in production are the hardest to fix — retrofitting governance onto live, high-risk systems is slower and more expensive than building it in from the start. Waiting also means shadow AI and vendor AI features keep expanding unchecked, so the eventual inventory and remediation effort grows every quarter you delay.

The 90-Day Governance Sprint exists because 90 days is a realistic window to get ahead of enforcement — but that window gets tighter, not wider, the longer it's postponed.

Většina auditů umělé inteligence se promění v požární cvičení. Ten váš se tak nestane.

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90 dní.

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5 artefaktů připravených k auditu, které odvedou 80 % práce.

Inventář systémů umělé inteligence

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